# -*- coding: utf-8 -*-
# 品牌客户异常监控2期概览页需求
# author： chenyijia
# create_time: 2021-12-03 14:37:34

from datetime import timedelta

from jms.dim.dim_lmdm_sys_first_code import jms_dim__dim_lmdm_sys_first_code
from jms.dim.dim_lmdm_sys_network_distributi import jms_dim__dim_lmdm_sys_network_distributi
from jms.dim.dim_network_whole_massage import jms_dim__dim_network_whole_massage
from jms.dim.dim_sys_notice_base import jms_dim__dim_sys_notice_base
# from jms.ods.tab.tab_mainline_vehicleloading import jms_ods__tab_mainline_vehicleloading
from jms.dim.dim_tms_mainline_vehicleloading import jms_dim__dim_tms_mainline_vehicleloading
# from jms.ods.tms.yl_tmsnew_tms_road_section import jms_ods__yl_tmsnew_tms_road_section
from jms.dim.tms.dim_yl_tmsnew_tms_road_section_base import jms_dim__dim_yl_tmsnew_tms_road_section_base
from jms.dwd.oms.dwd_yl_oms_oms_waybill_incre_dt import jms_dwd__dwd_yl_oms_oms_waybill_incre_dt
# from jms.ods.tab.tab_barscan_centerarrival import jms_ods__tab_barscan_centerarrival
from jms.dwd.tab.dwd_tab_barscan_centerarrival_base_dt import jms_dwd__dwd_tab_barscan_centerarrival_base_dt
from jms.dwd.tab.dwd_tab_barscan_centersend_base_dt import jms_dwd__dwd_tab_barscan_centersend_base_dt
from jms.dwd.tab.dwd_tab_barscan_difficult_base_dt import jms_dwd__dwd_tab_barscan_difficult_base_dt
# from jms.dim.tms.dim_yl_tms_route_base import jms_dim__dim_yl_tms_route_base
from jms.dwd.tms.dwd_tms_temp_transport_base_dt import jms_dwd__dwd_tms_temp_transport_base_dt
from jms.dim.tms.dim_yl_tms_route_base_dt import jms_dim__dim_yl_tms_route_base_dt
from jms.time_sensor.time_after_03_45 import time_after_03_45
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

# 客户预警栏 -- 拦截、遗失、损坏指标
jms_dm__dm_transit_volume_monitor_detail_dt = SparkSqlOperator(
    task_id='jms_dm__dm_transit_volume_monitor_detail_dt',
    task_concurrency=1,
    pool_slots=4,
    master='yarn',
    #execution_timeout=timedelta(hours=1)
    #excel平均时长:19分36秒
    #execution_timeout = timedelta(minutes=60)
    #excel平均时长:19分36秒
    execution_timeout = timedelta(minutes=60),
    email=['guoruiling@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_transit_volume_monitor_detail_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_transit_volume_monitor_detail_dt/execute.sql',
    driver_memory='12G',
    driver_cores=4,
    executor_cores=6,
    executor_memory='8G',
    num_executors=20,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 40,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 180,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.sql.shuffle.partitions': 500,
          'spark.default.paralleism': 200,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.yarn.executor.memoryOverhead': 4096,
          'spark.locality.wait': 0, #针对大数据量task多 读取数据等待时间0
    },
    #hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
    #          'hive.exec.dynamic.partition.mode': 'nonstrict',
    #          'hive.exec.max.dynamic.partitions': 200,  # 每天生成 20 个分区
    #          'hive.exec.max.dynamic.partitions.pernode': 200,  # 每天生成 20 个分区
    #          },
    yarn_queue='pro',
)


jms_dm__dm_transit_volume_monitor_detail_dt << [
    jms_dwd__dwd_tab_barscan_centerarrival_base_dt,
    jms_dim__dim_network_whole_massage,
    jms_dwd__dwd_yl_oms_oms_waybill_incre_dt,
    jms_dim__dim_lmdm_sys_first_code,
    jms_dim__dim_lmdm_sys_network_distributi,
    jms_dim__dim_tms_mainline_vehicleloading,
    jms_dim__dim_yl_tmsnew_tms_road_section_base,
    jms_dim__dim_yl_tms_route_base_dt,
    jms_dwd__dwd_tms_temp_transport_base_dt,
    jms_dwd__dwd_tab_barscan_centersend_base_dt,
    jms_dim__dim_sys_notice_base,
    jms_dwd__dwd_tab_barscan_difficult_base_dt,
    time_after_03_45
]
